Zobrazeno 1 - 10
of 125
pro vyhledávání: '"Kaijun, Wu"'
Publikováno v:
Alexandria Engineering Journal, Vol 113, Iss , Pp 249-261 (2025)
Fuzzy clustering algorithms are widely applied in the field of traffic driving, aiding in the classification of driving behaviors from massive traffic data and enhancing traffic safety levels. However, classical Fuzzy C-Means (FCM) algorithms are sen
Externí odkaz:
https://doaj.org/article/43cb12dcf3a14505be449c45f340a853
Adaptive condition-aware high-dimensional decoupling remote sensing image object detection algorithm
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract Remote Sensing Image Object Detection (RSIOD) faces the challenges of multi-scale objects, dense overlap of objects and uneven data distribution in practical applications. In order to solve these problems, this paper proposes a YOLO-ACPHD RS
Externí odkaz:
https://doaj.org/article/2709cbbeefca4f3ca8a5e7d5f7799aee
Publikováno v:
Heliyon, Vol 10, Iss 15, Pp e35214- (2024)
The environmentally responsible behavior of tourists has been one of the focal points in the field of sustainable tourism research in recent years. Taking Guangzhou City Park as an example, this study investigates the relationship between restorative
Externí odkaz:
https://doaj.org/article/9c45a81550f1409291dbd278aaaa152d
Autor:
Kenan Li, Xi Chen, Liman A, Kaijun Wu, Haiwen Liu, Fengjing Dai, Tiantian Yang, Jia Yu, Kehua Wang
Publikováno v:
Atmosphere, Vol 15, Iss 9, p 1138 (2024)
The jet stream is a primary factor contributing to turbulence, especially for upper-level aircraft. This study utilized pilot reports and ERA5 data from 2023 to investigate the relationship between upper-level turbulence and the East Asian westerly j
Externí odkaz:
https://doaj.org/article/58787c7e7af9473894db0a2eaf5e6c91
Publikováno v:
Agronomy, Vol 14, Iss 5, p 910 (2024)
In order to achieve fast and accurate detection of Gannan navel orange fruits with different ripeness levels in a natural environment under all-weather scenarios and then to realise automated harvesting of Gannan navel oranges, this paper proposes a
Externí odkaz:
https://doaj.org/article/a0d22777764b484884941be5e1cfd5d1
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-13 (2022)
Abstract In the development of anti-breast cancer drugs, the quantitative structure-activity relationship model of compounds is usually used to select potential active compounds. However, the existing methods often have problems such as low model pre
Externí odkaz:
https://doaj.org/article/3fb51c08b4474224b612f70a2039950d
Publikováno v:
Applied Sciences, Vol 14, Iss 5, p 1836 (2024)
Existing methods for restoring color-distorted images in specific environments typically focus on a singular type of distortion, making it challenging to generalize their application across various types of color-distorted images. If it were possible
Externí odkaz:
https://doaj.org/article/a69aebbed4c14ea9b89f0f878fcaae82
Publikováno v:
EURASIP Journal on Wireless Communications and Networking, Vol 2021, Iss 1, Pp 1-19 (2021)
Abstract In smart cities, the Internet-of-Thing (IoT) provides an enabling communication infrastructure to support tremendous amount of data exchange. Most IoT applications, e.g., wireless local area network, Bluetooth and so forth, utilize the chann
Externí odkaz:
https://doaj.org/article/068e00151d65403e9999b17aea7cc3fc
Publikováno v:
Frontiers in Earth Science, Vol 10 (2022)
The interdecadal change of the summer (July–August) rainfall over North China (SRNC) is of great concern to the climate research community. Based on the sliding correlation and interdecadal difference analysis, the interdecadal change of SRNC was s
Externí odkaz:
https://doaj.org/article/39d85b1e02f84e21b628d72fb60b6fb4
Publikováno v:
IEEE Access, Vol 9, Pp 113889-113900 (2021)
Due to the low detection accuracy of YOLOv3 target detection method, this paper proposes an improved target detection method of YOLOv3 remote sensing image. Firstly, the feature extraction network DarkNet53 is strengthened to improve the ability of f
Externí odkaz:
https://doaj.org/article/b9b678e518844165a971de19348428a4